Alternatives and similar repositories for mct-quantization-layers

Users that are interested in mct-quantization-layers are comparing it to the libraries listed below

• SonySemiconductorSolutions / mct-model-optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆427Updated this week
• Arm-Examples / ML-zoo
  ☆243Updated 2 years ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆135Updated last year
• PINTO0309 / simple-onnx-processing-tools
  A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…
  ☆300Updated last year
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆146Updated last year
• omerferhatt / torch2tflite
  PyTorch to TensorFlow Lite converter
  ☆185Updated last year
• quic / aimet-model-zoo
  ☆339Updated 2 years ago
• zhenhuaw-me / tflite2onnx
  Convert TensorFlow Lite models (*.tflite) to ONNX.
  ☆170Updated 2 years ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆95Updated last year
• sithu31296 / PyTorch-ONNX-TFLite
  Conversion of PyTorch Models into TFLite
  ☆397Updated 2 years ago
• levipereira / yolov9-qat
  Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.
  ☆129Updated 7 months ago
• 1adrianb / binary-networks-pytorch
  Binarize convolutional neural networks using pytorch
  ☆149Updated 3 years ago
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆141Updated 3 years ago
• leimao / ONNX-Runtime-Inference
  ONNX Runtime Inference C++ Example
  ☆253Updated 8 months ago
• micromind-toolkit / micromind
  A toolkit for tinyML research and deployment
  ☆72Updated last year
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆166Updated this week
• AlexanderLutsenko / nobuco
  Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
  ☆332Updated 8 months ago
• mlcommons / tiny
  MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆433Updated 3 months ago
• kentaroy47 / benchmark-FP32-FP16-INT8-with-TensorRT
  Benchmark inference speed of CNNs with various quantization methods in Pytorch+TensorRT with Jetson Nano/Xavier
  ☆56Updated 2 years ago
• Talmaj / onnx2pytorch
  Transform ONNX model to PyTorch representation
  ☆345Updated last month
• PINTO0309 / openvino2tensorflow
  This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and…
  ☆344Updated 3 years ago
• ysbsb / awesome-quantization
  Awesome Quantization Paper lists with Codes
  ☆10Updated 4 years ago
• sefaburakokcu / quantized-yolov5
  Low Precision(quantized) Yolov5
  ☆45Updated 8 months ago
• liangyn22 / MCUFormer
  [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
  ☆75Updated 2 years ago
• scailable / sclblonnx
  Scailable ONNX python tools
  ☆97Updated last year
• PINTO0309 / onnx2tf
  Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massiv…
  ☆889Updated last week
• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆38Updated 4 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆36Updated 3 years ago
• ENOT-AutoDL / onnx2torch
  Convert ONNX models to PyTorch.
  ☆710Updated last month
• google-ai-edge / ai-edge-torch
  Supporting PyTorch models with the Google AI Edge TFLite runtime.
  ☆855Updated this week